Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. - Pierluigi Zama Ramirez; Matteo Poggi; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (ACCV (3), 2018)

Exploiting semantics in adversarial training for image-level domain adaptation. - Pierluigi Zama Ramirez; Alessio Tonioni; Luigi Di Stefano (IPAS, 2018)

Learning Across Tasks and Domains. - Pierluigi Zama Ramirez; Alessio Tonioni; Samuele Salti; Luigi Di Stefano (ICCV, 2019)

Shooting Labels: 3D Semantic Labeling by Virtual Reality. - Pierluigi Zama Ramirez; Claudio Paternesi; Daniele De Gregorio; Luigi Di Stefano (CoRR, 2019)

Shooting Labels: 3D Semantic Labeling by Virtual Reality. - Pierluigi Zama Ramirez; Claudio Paternesi; Luca De Luigi; Luigi Lella; Daniele De Gregorio; Luigi Di Stefano (AIVR, 2020)

Distilled Semantics for Comprehensive Scene Understanding from Videos. - Fabio Tosi; Filippo Aleotti; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Luigi Di Stefano; Stefano Mattoccia (CVPR, 2020)

Neural Disparity Refinement for Arbitrary Resolution Stereo. - Filippo Aleotti; Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (3DV, 2021)

RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. - Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (3DV, 2021)

Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. - Daniele De Gregorio; Matteo Poggi; Pierluigi Zama Ramirez; Gianluca Palli; Stefano Mattoccia; Luigi Di Stefano (IEEE Access, 2021)

Unsupervised Novel View Synthesis from a Single Image. - Pierluigi Zama Ramirez; Alessio Tonioni; Federico Tombari (CoRR, 2021)

Deep Scene Understanding with Limited Training Data. - Pierluigi Zama Ramirez (2021)

Cross-Spectral Neural Radiance Fields. - Matteo Poggi; Pierluigi Zama Ramirez; Fabio Tosi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (3DV, 2022)

Open Challenges in Deep Stereo: the Booster Dataset. - Pierluigi Zama Ramirez; Fabio Tosi; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2022)

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. - Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (CVPR, 2022)

Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. - Adriano Cardace; Luca De Luigi; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2022)

Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. - Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2022)

Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation. - Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 2023)

NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Jun Shi 004; Dafeng Zhang; Yong A; Yixiang Jin; et al. (CVPR Workshops, 2023)

Learning Depth Estimation for Transparent and Mirror Surfaces. - Alex Costanzino; Pierluigi Zama Ramirez; Matteo Poggi; Fabio Tosi; Stefano Mattoccia; Luigi Di Stefano (ICCV, 2023)

Deep Learning on Implicit Neural Representations of Shapes. - Luca De Luigi; Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (ICLR, 2023)

Self-Distillation for Unsupervised 3D Domain Adaptation. - Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2023)

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion. - Adriano Cardace; Andrea Conti 002; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (IEEE Access, 2023)

Deep Learning on 3D Neural Fields. - Pierluigi Zama Ramirez; Luca De Luigi; Daniele Sirocchi; Adriano Cardace; Riccardo Spezialetti; Francesco Ballerini; Samuele Salti; Luigi Di Stefano (CoRR, 2023)

Learning Good Features to Transfer Across Tasks and Domains. - Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Connecting NeRFs, Images, and Text. - Francesco Ballerini; Pierluigi Zama Ramirez; Roberto Mirabella; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 2024)

Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. - Alex Costanzino; Pierluigi Zama Ramirez; Giuseppe Lisanti; Luigi Di Stefano (CVPR, 2024)

Test Time Training for Industrial Anomaly Segmentation. - Alex Costanzino; Pierluigi Zama Ramirez; Mirko Del Moro; Agostino Aiezzo; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 2024)

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Yangyang Zhang; Cailin Wu; Zhuangda He; Shuangshuang Yin; et al. (CVPR Workshops, 2024)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. - Fabio Tosi; Pierluigi Zama Ramirez; Matteo Poggi (ECCV (23), 2024)

Neural Processing of Tri-Plane Hybrid Neural Fields. - Adriano Cardace; Pierluigi Zama Ramirez; Francesco Ballerini; Allan Zhou; Samuele Salti; Luigi Di Stefano (ICLR, 2024)

LLaNA: Large Language and NeRF Assistant. - Andrea Amaduzzi; Pierluigi Zama Ramirez; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (NeurIPS, 2024)

Looking for Tiny Defects via Forward-Backward Feature Transfer. - Alex Costanzino; Pierluigi Zama Ramirez; Giuseppe Lisanti; Luigi Di Stefano (CoRR, 2024)

Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep Learning on Object-Centric 3D Neural Fields. - Pierluigi Zama Ramirez; Luca De Luigi; Daniele Sirocchi; Adriano Cardace; Riccardo Spezialetti; Francesco Ballerini; Samuele Salti; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Neural Disparity Refinement. - Fabio Tosi; Filippo Aleotti; Pierluigi Zama Ramirez; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

Learning to Be a Transformer to Pinpoint Anomalies. - Alex Costanzino; Pierluigi Zama Ramirez; Giuseppe Lisanti; Luigi Di Stefano (IEEE Access, 2025)

Embed Any NeRF: Graph Meta-Networks for Neural Tasks on Arbitrary NeRF Architectures. - Francesco Ballerini; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (CoRR, 2025)

Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training. - Andrea Amaduzzi; Pierluigi Zama Ramirez; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano (CoRR, 2025)

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark. - Alex Costanzino; Pierluigi Zama Ramirez; Luigi Lella; Matteo Ragaglia; Alessandro Oliva; Giuseppe Lisanti; Luigi Di Stefano (CoRR, 2025)